{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "machine_shape": "hm",
      "gpuType": "T4",
      "authorship_tag": "ABX9TyMCKZDg8skzTybbv6QIpreu",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/KevinWang676/Bark-Voice-Cloning/blob/main/notebooks/Seamless_Meta.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "l3Fg9Q8mUpY2",
        "outputId": "2dad8de2-b0d4-4d4f-d1d5-fbe8edd1fffb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'seamless-test'...\n",
            "remote: Enumerating objects: 63, done.\u001b[K\n",
            "remote: Counting objects: 100% (33/33), done.\u001b[K\n",
            "remote: Compressing objects: 100% (31/31), done.\u001b[K\n",
            "remote: Total 63 (delta 15), reused 0 (delta 0), pack-reused 30\u001b[K\n",
            "Unpacking objects: 100% (63/63), 20.20 KiB | 1.12 MiB/s, done.\n"
          ]
        }
      ],
      "source": [
        "!git clone https://huggingface.co/spaces/kevinwang676/seamless-test"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "cd seamless-test"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DGQBvR8gUt6q",
        "outputId": "15d01114-20fd-42f5-c99e-08b6b7f0b929"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/seamless-test\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install -r requirements.txt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cP3emM0iUvDs",
        "outputId": "c571a3f6-1355-4dde-fd56-0b7f6c3aa9dd"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
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            "Collecting starlette<0.28.0,>=0.27.0 (from fastapi->gradio->-r requirements.txt (line 1))\n",
            "  Downloading starlette-0.27.0-py3-none-any.whl (66 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m8.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "  Downloading httpcore-1.0.2-py3-none-any.whl (76 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m10.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.3->gradio->-r requirements.txt (line 1)) (3.3.2)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub>=0.19.3->gradio->-r requirements.txt (line 1)) (2.0.7)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch->fairseq->-r requirements.txt (line 5)) (1.3.0)\n",
            "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich<14.0.0,>=10.11.0->typer[all]<1.0,>=0.9->gradio->-r requirements.txt (line 1)) (0.1.2)\n",
            "Building wheels for collected packages: fairseq, antlr4-python3-runtime, ffmpy\n",
            "  Building wheel for fairseq (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fairseq: filename=fairseq-0.12.2-cp310-cp310-linux_x86_64.whl size=11291807 sha256=3d5ae9470c79fbcd9a0cfabc0c06110b2b664958f72630f9e316f445f018b81a\n",
            "  Stored in directory: /root/.cache/pip/wheels/e4/35/55/9c66f65ec7c83fd6fbc2b9502a0ac81b2448a1196159dacc32\n",
            "  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for antlr4-python3-runtime: filename=antlr4_python3_runtime-4.8-py3-none-any.whl size=141210 sha256=72b3d7a42fecca91d5429b84af190e717d7ed7681daf1c54964184dbdb45b6c8\n",
            "  Stored in directory: /root/.cache/pip/wheels/a7/20/bd/e1477d664f22d99989fd28ee1a43d6633dddb5cb9e801350d5\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=4c733b590e47117478c8ecb6169f3fa2d38f3106ea722eba339d3ac58e36bae3\n",
            "  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
            "Successfully built fairseq antlr4-python3-runtime ffmpy\n",
            "Installing collected packages: pydub, ffmpy, bitarray, antlr4-python3-runtime, websockets, typing-extensions, tomlkit, shellingham, semantic-version, python-multipart, portalocker, orjson, h11, colorama, annotated-types, aiofiles, uvicorn, starlette, sacrebleu, pydantic-core, omegaconf, httpcore, pydantic, hydra-core, httpx, gradio-client, fastapi, fairseq, gradio\n",
            "  Attempting uninstall: typing-extensions\n",
            "    Found existing installation: typing_extensions 4.5.0\n",
            "    Uninstalling typing_extensions-4.5.0:\n",
            "      Successfully uninstalled typing_extensions-4.5.0\n",
            "  Attempting uninstall: pydantic\n",
            "    Found existing installation: pydantic 1.10.13\n",
            "    Uninstalling pydantic-1.10.13:\n",
            "      Successfully uninstalled pydantic-1.10.13\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires openai, which is not installed.\n",
            "llmx 0.0.15a0 requires tiktoken, which is not installed.\n",
            "tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.9.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed aiofiles-23.2.1 annotated-types-0.6.0 antlr4-python3-runtime-4.8 bitarray-2.8.5 colorama-0.4.6 fairseq-0.12.2 fastapi-0.105.0 ffmpy-0.3.1 gradio-4.9.0 gradio-client-0.7.2 h11-0.14.0 httpcore-1.0.2 httpx-0.25.2 hydra-core-1.0.7 omegaconf-2.0.6 orjson-3.9.10 portalocker-2.8.2 pydantic-2.5.2 pydantic-core-2.14.5 pydub-0.25.1 python-multipart-0.0.6 sacrebleu-2.4.0 semantic-version-2.10.0 shellingham-1.5.4 starlette-0.27.0 tomlkit-0.12.0 typing-extensions-4.9.0 uvicorn-0.24.0.post1 websockets-11.0.3\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install speechbrain\n",
        "!pip install scipy"
      ],
      "metadata": {
        "id": "WGcLBt27o74O",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "de5f8ee6-0ff8-4fed-83eb-372b74b8352f"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting speechbrain\n",
            "  Downloading speechbrain-0.5.16-py3-none-any.whl (630 kB)\n",
            "\u001b[?25l     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/630.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K     \u001b[91m━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m81.9/630.6 kB\u001b[0m \u001b[31m2.2 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m630.6/630.6 kB\u001b[0m \u001b[31m9.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting hyperpyyaml (from speechbrain)\n",
            "  Downloading HyperPyYAML-1.2.2-py3-none-any.whl (16 kB)\n",
            "Requirement already satisfied: joblib in /usr/local/lib/python3.10/dist-packages (from speechbrain) (1.3.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from speechbrain) (1.23.5)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from speechbrain) (23.2)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (from speechbrain) (1.11.4)\n",
            "Collecting sentencepiece (from speechbrain)\n",
            "  Downloading sentencepiece-0.1.99-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m69.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: torch>=1.9 in /usr/local/lib/python3.10/dist-packages (from speechbrain) (2.1.0+cu118)\n",
            "Requirement already satisfied: torchaudio in /usr/local/lib/python3.10/dist-packages (from speechbrain) (2.1.0+cu118)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from speechbrain) (4.66.1)\n",
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            "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (3.13.1)\n",
            "Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (4.9.0)\n",
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            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.9->speechbrain) (2.1.0)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->speechbrain) (2.31.0)\n",
            "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub->speechbrain) (6.0.1)\n",
            "Collecting ruamel.yaml>=0.17.28 (from hyperpyyaml->speechbrain)\n",
            "  Downloading ruamel.yaml-0.18.5-py3-none-any.whl (116 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m116.4/116.4 kB\u001b[0m \u001b[31m14.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting ruamel.yaml.clib>=0.2.7 (from ruamel.yaml>=0.17.28->hyperpyyaml->speechbrain)\n",
            "  Downloading ruamel.yaml.clib-0.2.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl (526 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m526.7/526.7 kB\u001b[0m \u001b[31m43.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=1.9->speechbrain) (2.1.3)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->speechbrain) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->speechbrain) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->speechbrain) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->huggingface-hub->speechbrain) (2023.11.17)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=1.9->speechbrain) (1.3.0)\n",
            "Installing collected packages: sentencepiece, ruamel.yaml.clib, ruamel.yaml, hyperpyyaml, speechbrain\n",
            "Successfully installed hyperpyyaml-1.2.2 ruamel.yaml-0.18.5 ruamel.yaml.clib-0.2.8 sentencepiece-0.1.99 speechbrain-0.5.16\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.10/dist-packages (1.11.4)\n",
            "Requirement already satisfied: numpy<1.28.0,>=1.21.6 in /usr/local/lib/python3.10/dist-packages (from scipy) (1.23.5)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install git+https://github.com/facebookresearch/seamless_communication"
      ],
      "metadata": {
        "id": "IvvskxcQmSCG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f9e00ac1-c22c-40da-ceab-41fda729b7de"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting git+https://github.com/facebookresearch/seamless_communication\n",
            "  Cloning https://github.com/facebookresearch/seamless_communication to /tmp/pip-req-build-7owz0r0f\n",
            "  Running command git clone --filter=blob:none --quiet https://github.com/facebookresearch/seamless_communication /tmp/pip-req-build-7owz0r0f\n",
            "  Resolved https://github.com/facebookresearch/seamless_communication to commit 58796ae18822d94c8315b420424dbfda8873455e\n",
            "  Running command git submodule update --init --recursive -q\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting datasets (from seamless-communication==1.0.0)\n",
            "  Downloading datasets-2.15.0-py3-none-any.whl (521 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m521.2/521.2 kB\u001b[0m \u001b[31m7.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting fairseq2==0.2.* (from seamless-communication==1.0.0)\n",
            "  Downloading fairseq2-0.2.0-py3-none-any.whl (191 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m191.8/191.8 kB\u001b[0m \u001b[31m23.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting fire (from seamless-communication==1.0.0)\n",
            "  Downloading fire-0.5.0.tar.gz (88 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.3/88.3 kB\u001b[0m \u001b[31m10.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: librosa in /usr/local/lib/python3.10/dist-packages (from seamless-communication==1.0.0) (0.10.1)\n",
            "Collecting openai-whisper (from seamless-communication==1.0.0)\n",
            "  Downloading openai-whisper-20231117.tar.gz (798 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m798.6/798.6 kB\u001b[0m \u001b[31m49.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "Collecting simuleval~=1.1.3 (from seamless-communication==1.0.0)\n",
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            "\u001b[?25hINFO: pip is looking at multiple versions of torchaudio to determine which version is compatible with other requirements. This could take a while.\n",
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            "Collecting coverage[toml]>=5.2.1 (from pytest-cov->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
            "  Downloading coverage-7.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (228 kB)\n",
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            "\u001b[?25hCollecting flake8>=4.0 (from pytest-flake8->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
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            "\u001b[?25hCollecting mutagen (from yt-dlp->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
            "  Downloading mutagen-1.47.0-py3-none-any.whl (194 kB)\n",
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            "Collecting brotli (from yt-dlp->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
            "  Downloading Brotli-1.1.0-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.0 MB)\n",
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            "\u001b[?25hCollecting mccabe<0.8.0,>=0.7.0 (from flake8>=4.0->pytest-flake8->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
            "  Downloading mccabe-0.7.0-py2.py3-none-any.whl (7.3 kB)\n",
            "Collecting pycodestyle<2.12.0,>=2.11.0 (from flake8>=4.0->pytest-flake8->simuleval~=1.1.3->seamless-communication==1.0.0)\n",
            "  Downloading pycodestyle-2.11.1-py2.py3-none-any.whl (31 kB)\n",
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            "Building wheels for collected packages: seamless-communication, fire, openai-whisper\n",
            "  Building wheel for seamless-communication (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for seamless-communication: filename=seamless_communication-1.0.0-py3-none-any.whl size=207302 sha256=ad31c76b192132c3f946d2f4af768a83fb90ceccde1691697daddc82711f7b65\n",
            "  Stored in directory: /tmp/pip-ephem-wheel-cache-yxmnhpen/wheels/8c/15/b0/a0fbae819d0e96de2a5aa56488b0d23ab5089594222fa01db3\n",
            "  Building wheel for fire (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for fire: filename=fire-0.5.0-py2.py3-none-any.whl size=116934 sha256=baba21027ecdd0fe318a5b90d73df648762a00d09d364cb5fae6afe32f90f04a\n",
            "  Stored in directory: /root/.cache/pip/wheels/90/d4/f7/9404e5db0116bd4d43e5666eaa3e70ab53723e1e3ea40c9a95\n",
            "  Building wheel for openai-whisper (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai-whisper: filename=openai_whisper-20231117-py3-none-any.whl size=801356 sha256=e4a15f6170014663ae0cb51054692f874e9e70f59ef5a6ef166ae838b985ac57\n",
            "  Stored in directory: /root/.cache/pip/wheels/d0/85/e1/9361b4cbea7dd4b7f6702fa4c3afc94877952eeb2b62f45f56\n",
            "Successfully built seamless-communication fire openai-whisper\n",
            "Installing collected packages: textgrid, brotli, bitarray, tqdm, torcheval, rapidfuzz, pyflakes, pycryptodomex, pycodestyle, pyarrow-hotfix, overrides, nvidia-nvtx-cu12, nvidia-nvjitlink-cu12, nvidia-nccl-cu12, nvidia-curand-cu12, nvidia-cufft-cu12, nvidia-cuda-runtime-cu12, nvidia-cuda-nvrtc-cu12, nvidia-cuda-cupti-cu12, nvidia-cublas-cu12, mutagen, mccabe, fire, dill, coverage, yt-dlp, tiktoken, nvidia-cusparse-cu12, nvidia-cudnn-cu12, multiprocess, jiwer, flake8, pytest-flake8, pytest-cov, nvidia-cusolver-cu12, torch, simuleval, datasets, torchaudio, openai-whisper, fairseq2n, fairseq2, seamless-communication\n",
            "  Attempting uninstall: bitarray\n",
            "    Found existing installation: bitarray 2.8.5\n",
            "    Uninstalling bitarray-2.8.5:\n",
            "      Successfully uninstalled bitarray-2.8.5\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.66.1\n",
            "    Uninstalling tqdm-4.66.1:\n",
            "      Successfully uninstalled tqdm-4.66.1\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.0+cu118\n",
            "    Uninstalling torch-2.1.0+cu118:\n",
            "      Successfully uninstalled torch-2.1.0+cu118\n",
            "  Attempting uninstall: torchaudio\n",
            "    Found existing installation: torchaudio 2.1.0+cu118\n",
            "    Uninstalling torchaudio-2.1.0+cu118:\n",
            "      Successfully uninstalled torchaudio-2.1.0+cu118\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires openai, which is not installed.\n",
            "torchdata 0.7.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "torchtext 0.16.0 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\n",
            "torchvision 0.16.0+cu118 requires torch==2.1.0, but you have torch 2.1.1 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed bitarray-2.6.0 brotli-1.1.0 coverage-7.3.3 datasets-2.15.0 dill-0.3.7 fairseq2-0.2.0 fairseq2n-0.2.0 fire-0.5.0 flake8-6.1.0 jiwer-3.0.3 mccabe-0.7.0 multiprocess-0.70.15 mutagen-1.47.0 nvidia-cublas-cu12-12.1.3.1 nvidia-cuda-cupti-cu12-12.1.105 nvidia-cuda-nvrtc-cu12-12.1.105 nvidia-cuda-runtime-cu12-12.1.105 nvidia-cudnn-cu12-8.9.2.26 nvidia-cufft-cu12-11.0.2.54 nvidia-curand-cu12-10.3.2.106 nvidia-cusolver-cu12-11.4.5.107 nvidia-cusparse-cu12-12.1.0.106 nvidia-nccl-cu12-2.18.1 nvidia-nvjitlink-cu12-12.3.101 nvidia-nvtx-cu12-12.1.105 openai-whisper-20231117 overrides-7.4.0 pyarrow-hotfix-0.6 pycodestyle-2.11.1 pycryptodomex-3.19.0 pyflakes-3.1.0 pytest-cov-4.1.0 pytest-flake8-1.1.1 rapidfuzz-3.5.2 seamless-communication-1.0.0 simuleval-1.1.4 textgrid-1.5 tiktoken-0.5.2 torch-2.1.1 torchaudio-2.1.1 torcheval-0.0.7 tqdm-4.64.1 yt-dlp-2023.11.16\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pip install torchvision==0.16.0+cu121 --extra-index-url https://download.pytorch.org/whl/cu121"
      ],
      "metadata": {
        "id": "anulr4eRxZ8M",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3b41d6e0-db0c-4b7b-c991-4a3515c5a697"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu121\n",
            "Collecting torchvision==0.16.0+cu121\n",
            "  Downloading https://download.pytorch.org/whl/cu121/torchvision-0.16.0%2Bcu121-cp310-cp310-linux_x86_64.whl (7.0 MB)\n",
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            "\u001b[?25hRequirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from torchvision==0.16.0+cu121) (1.23.5)\n",
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            "Collecting torch==2.1.0 (from torchvision==0.16.0+cu121)\n",
            "  Downloading https://download.pytorch.org/whl/cu121/torch-2.1.0%2Bcu121-cp310-cp310-linux_x86_64.whl (2200.6 MB)\n",
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            "Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (3.2.1)\n",
            "Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (3.1.2)\n",
            "Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (2023.6.0)\n",
            "Requirement already satisfied: triton==2.1.0 in /usr/local/lib/python3.10/dist-packages (from torch==2.1.0->torchvision==0.16.0+cu121) (2.1.0)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (3.3.2)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (3.6)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (2.0.7)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->torchvision==0.16.0+cu121) (2023.11.17)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch==2.1.0->torchvision==0.16.0+cu121) (2.1.3)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->torch==2.1.0->torchvision==0.16.0+cu121) (1.3.0)\n",
            "Installing collected packages: torch, torchvision\n",
            "  Attempting uninstall: torch\n",
            "    Found existing installation: torch 2.1.1\n",
            "    Uninstalling torch-2.1.1:\n",
            "      Successfully uninstalled torch-2.1.1\n",
            "  Attempting uninstall: torchvision\n",
            "    Found existing installation: torchvision 0.16.0+cu118\n",
            "    Uninstalling torchvision-0.16.0+cu118:\n",
            "      Successfully uninstalled torchvision-0.16.0+cu118\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "fairseq2n 0.2.0 requires torch==2.1.1, but you have torch 2.1.0+cu121 which is incompatible.\n",
            "torchaudio 2.1.1 requires torch==2.1.1, but you have torch 2.1.0+cu121 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed torch-2.1.0+cu121 torchvision-0.16.0+cu121\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!python app.py"
      ],
      "metadata": {
        "id": "UeEwvvlDU6OF",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "edb3270e-45cb-45d3-9d30-f96990260c08"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[1;30;43m流式输出内容被截断，只能显示最后 5000 行内容。\u001b[0m\n",
            "\n",
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            "seamlessM4T_v2_large.pt:  55% 5.03G/9.07G [01:14<00:14, 270MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  44% 5.04G/11.4G [01:15<00:25, 249MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  56% 5.06G/9.07G [01:15<00:16, 240MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  45% 5.08G/11.4G [01:15<00:29, 216MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  56% 5.10G/9.07G [01:15<00:18, 215MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  45% 5.11G/11.4G [01:15<00:31, 199MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  57% 5.13G/9.07G [01:15<00:19, 201MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  45% 5.14G/11.4G [01:15<00:32, 190MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  57% 5.16G/9.07G [01:15<00:20, 193MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  45% 5.16G/11.4G [01:15<00:33, 187MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  57% 5.18G/9.07G [01:15<00:21, 183MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  45% 5.18G/11.4G [01:16<00:33, 183MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  57% 5.20G/9.07G [01:15<00:22, 170MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  46% 5.20G/11.4G [01:16<00:37, 167MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  58% 5.22G/9.07G [01:16<00:24, 156MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  46% 5.22G/11.4G [01:16<00:40, 154MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  58% 5.24G/9.07G [01:16<00:26, 145MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  46% 5.24G/11.4G [01:16<00:44, 139MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  58% 5.26G/9.07G [01:16<00:28, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  46% 5.26G/11.4G [01:16<00:48, 126MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  58% 5.28G/9.07G [01:16<00:32, 116MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  46% 5.28G/11.4G [01:17<00:54, 113MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  58% 5.31G/9.07G [01:16<00:36, 105MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  47% 5.31G/11.4G [01:17<00:59, 102MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  59% 5.33G/9.07G [01:17<00:37, 99.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  47% 5.33G/11.4G [01:17<01:02, 96.3MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  59% 5.34G/9.07G [01:17<00:37, 100MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  47% 5.35G/11.4G [01:17<00:58, 103MB/s] \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  59% 5.36G/9.07G [01:17<00:35, 105MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  47% 5.37G/11.4G [01:17<00:51, 116MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  59% 5.38G/9.07G [01:17<00:30, 120MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  47% 5.39G/11.4G [01:17<00:46, 130MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  60% 5.40G/9.07G [01:17<00:27, 132MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  48% 5.41G/11.4G [01:18<00:45, 131MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  60% 5.42G/9.07G [01:17<00:26, 138MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  48% 5.43G/11.4G [01:18<00:41, 142MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  48% 5.45G/11.4G [01:18<00:38, 156MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  48% 5.49G/11.4G [01:18<00:29, 203MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  60% 5.44G/9.07G [01:18<00:35, 102MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.53G/11.4G [01:18<00:29, 201MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  60% 5.47G/9.07G [01:18<00:28, 125MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.55G/11.4G [01:18<00:30, 193MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  61% 5.49G/9.07G [01:18<00:26, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.57G/11.4G [01:18<00:32, 181MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  61% 5.52G/9.07G [01:18<00:26, 134MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.59G/11.4G [01:19<00:35, 164MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  61% 5.54G/9.07G [01:18<00:27, 126MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.61G/11.4G [01:19<00:39, 146MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  61% 5.56G/9.07G [01:19<00:27, 127MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  49% 5.63G/11.4G [01:19<00:39, 146MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  62% 5.58G/9.07G [01:19<00:27, 128MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  50% 5.65G/11.4G [01:19<00:38, 148MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  62% 5.60G/9.07G [01:19<00:24, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  62% 5.62G/9.07G [01:19<00:22, 152MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  50% 5.68G/11.4G [01:19<00:37, 151MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  62% 5.64G/9.07G [01:20<01:26, 39.6MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  50% 5.70G/11.4G [01:21<02:09, 43.9MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  50% 5.73G/11.4G [01:21<01:42, 55.5MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  63% 5.67G/9.07G [01:21<00:59, 57.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  50% 5.75G/11.4G [01:21<01:23, 67.3MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  63% 5.69G/9.07G [01:21<00:49, 68.1MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  51% 5.77G/11.4G [01:21<01:10, 79.9MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  63% 5.71G/9.07G [01:21<00:42, 79.7MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  51% 5.79G/11.4G [01:21<01:01, 91.5MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  63% 5.74G/9.07G [01:21<00:36, 90.7MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  51% 5.81G/11.4G [01:21<00:58, 95.7MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  63% 5.76G/9.07G [01:21<00:34, 96.8MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  51% 5.83G/11.4G [01:22<00:52, 106MB/s] \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  64% 5.78G/9.07G [01:21<00:31, 105MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  51% 5.85G/11.4G [01:22<00:50, 110MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  64% 5.80G/9.07G [01:21<00:29, 110MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.87G/11.4G [01:22<00:48, 114MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  64% 5.82G/9.07G [01:22<00:28, 115MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.89G/11.4G [01:22<00:46, 117MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  64% 5.84G/9.07G [01:22<00:27, 115MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.91G/11.4G [01:22<00:47, 116MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  65% 5.86G/9.07G [01:22<00:27, 117MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  65% 5.88G/9.07G [01:22<00:27, 114MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.93G/11.4G [01:22<00:54, 100MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.96G/11.4G [01:23<00:45, 119MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  65% 5.90G/9.07G [01:22<00:27, 116MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  52% 5.98G/11.4G [01:23<00:45, 120MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  65% 5.92G/9.07G [01:23<00:27, 113MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  53% 6.00G/11.4G [01:23<00:45, 118MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  66% 5.95G/9.07G [01:23<00:26, 117MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  53% 6.02G/11.4G [01:23<00:43, 122MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  66% 5.97G/9.07G [01:23<00:26, 119MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  53% 6.04G/11.4G [01:23<00:43, 122MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  66% 5.99G/9.07G [01:23<00:24, 126MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  53% 6.06G/11.4G [01:23<00:40, 130MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  66% 6.01G/9.07G [01:23<00:22, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  53% 6.08G/11.4G [01:24<00:37, 143MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  66% 6.03G/9.07G [01:23<00:21, 144MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  54% 6.10G/11.4G [01:24<00:35, 149MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  67% 6.05G/9.07G [01:23<00:19, 154MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  54% 6.12G/11.4G [01:24<00:32, 160MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  67% 6.07G/9.07G [01:24<00:18, 161MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  67% 6.09G/9.07G [01:24<00:17, 173MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  54% 6.16G/11.4G [01:24<00:30, 173MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  67% 6.11G/9.07G [01:24<00:16, 177MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  54% 6.19G/11.4G [01:24<00:28, 183MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  68% 6.14G/9.07G [01:24<00:15, 187MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  55% 6.21G/11.4G [01:24<00:27, 189MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  68% 6.17G/9.07G [01:24<00:15, 191MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  55% 6.23G/11.4G [01:24<00:26, 192MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  68% 6.20G/9.07G [01:24<00:13, 217MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  55% 6.27G/11.4G [01:24<00:21, 233MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  69% 6.24G/9.07G [01:24<00:10, 261MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  55% 6.30G/11.4G [01:25<00:21, 236MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  69% 6.28G/9.07G [01:24<00:09, 288MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  56% 6.33G/11.4G [01:25<00:20, 242MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  70% 6.31G/9.07G [01:24<00:09, 291MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  56% 6.38G/11.4G [01:25<00:18, 272MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  70% 6.35G/9.07G [01:25<00:08, 302MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  56% 6.42G/11.4G [01:25<00:16, 295MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  70% 6.39G/9.07G [01:25<00:09, 298MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  71% 6.43G/9.07G [01:25<00:08, 304MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  57% 6.45G/11.4G [01:25<00:20, 239MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  71% 6.46G/9.07G [01:25<00:10, 255MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  57% 6.48G/11.4G [01:25<00:22, 214MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  72% 6.49G/9.07G [01:25<00:11, 223MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  57% 6.51G/11.4G [01:25<00:23, 204MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  72% 6.52G/9.07G [01:25<00:12, 200MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  57% 6.54G/11.4G [01:26<00:26, 183MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  58% 6.56G/11.4G [01:26<00:26, 181MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  72% 6.55G/9.07G [01:26<00:13, 188MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  58% 6.59G/11.4G [01:26<00:28, 168MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  72% 6.57G/9.07G [01:26<00:14, 172MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  58% 6.61G/11.4G [01:26<00:32, 149MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  73% 6.60G/9.07G [01:26<00:15, 162MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  58% 6.63G/11.4G [01:26<00:32, 148MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  73% 6.62G/9.07G [01:26<00:15, 154MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  58% 6.65G/11.4G [01:26<00:33, 141MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  73% 6.64G/9.07G [01:26<00:17, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.67G/11.4G [01:27<00:34, 136MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  73% 6.66G/9.07G [01:26<00:17, 136MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.69G/11.4G [01:27<00:36, 128MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  74% 6.68G/9.07G [01:27<00:18, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.71G/11.4G [01:27<00:36, 129MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  74% 6.70G/9.07G [01:27<00:18, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.73G/11.4G [01:27<00:36, 128MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  74% 6.72G/9.07G [01:27<00:18, 125MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.75G/11.4G [01:27<00:37, 124MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  74% 6.74G/9.07G [01:27<00:18, 124MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  59% 6.77G/11.4G [01:27<00:39, 117MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  75% 6.76G/9.07G [01:27<00:19, 121MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  60% 6.79G/11.4G [01:28<00:38, 120MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  75% 6.78G/9.07G [01:27<00:19, 118MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  60% 6.82G/11.4G [01:28<00:37, 122MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  75% 6.81G/9.07G [01:28<00:18, 123MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  60% 6.84G/11.4G [01:28<00:35, 127MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  60% 6.86G/11.4G [01:28<00:35, 129MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  75% 6.83G/9.07G [01:28<00:23, 96.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  61% 6.89G/11.4G [01:28<00:27, 162MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  75% 6.85G/9.07G [01:28<00:19, 115MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  61% 6.91G/11.4G [01:28<00:27, 160MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  76% 6.87G/9.07G [01:29<00:51, 42.6MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  61% 6.93G/11.4G [01:30<01:29, 49.6MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  76% 6.90G/9.07G [01:29<00:34, 63.6MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  61% 6.96G/11.4G [01:30<01:02, 71.0MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  77% 6.94G/9.07G [01:30<00:22, 96.5MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  62% 7.00G/11.4G [01:30<00:41, 105MB/s] \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  77% 6.97G/9.07G [01:30<00:17, 117MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  62% 7.04G/11.4G [01:30<00:36, 121MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  62% 7.08G/11.4G [01:30<00:28, 154MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  77% 6.99G/9.07G [01:30<00:19, 106MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  77% 7.01G/9.07G [01:30<00:17, 116MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  62% 7.11G/11.4G [01:30<00:25, 165MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  78% 7.04G/9.07G [01:30<00:15, 127MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  63% 7.14G/11.4G [01:30<00:25, 167MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  78% 7.06G/9.07G [01:30<00:14, 136MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  63% 7.16G/11.4G [01:31<00:26, 160MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  78% 7.08G/9.07G [01:30<00:13, 144MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  78% 7.10G/9.07G [01:31<00:12, 158MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  63% 7.18G/11.4G [01:31<00:27, 151MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  78% 7.12G/9.07G [01:31<00:12, 161MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  63% 7.20G/11.4G [01:31<00:27, 150MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  79% 7.14G/9.07G [01:31<00:12, 150MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  63% 7.22G/11.4G [01:31<00:28, 147MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  79% 7.16G/9.07G [01:31<00:12, 149MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  64% 7.25G/11.4G [01:31<00:29, 141MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  79% 7.18G/9.07G [01:31<00:13, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  64% 7.27G/11.4G [01:31<00:29, 139MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  79% 7.20G/9.07G [01:31<00:13, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  64% 7.29G/11.4G [01:32<00:29, 137MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  80% 7.22G/9.07G [01:31<00:13, 138MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  64% 7.31G/11.4G [01:32<00:29, 139MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  80% 7.25G/9.07G [01:32<00:13, 139MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  64% 7.33G/11.4G [01:32<00:28, 140MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  80% 7.27G/9.07G [01:32<00:12, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.35G/11.4G [01:32<00:28, 140MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  80% 7.29G/9.07G [01:32<00:12, 140MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.37G/11.4G [01:32<00:28, 139MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  81% 7.31G/9.07G [01:32<00:12, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.39G/11.4G [01:32<00:29, 137MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  81% 7.33G/9.07G [01:32<00:12, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.41G/11.4G [01:32<00:29, 133MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  81% 7.35G/9.07G [01:32<00:13, 132MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.43G/11.4G [01:33<00:30, 128MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  81% 7.37G/9.07G [01:33<00:13, 125MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  65% 7.46G/11.4G [01:33<00:31, 125MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  82% 7.39G/9.07G [01:33<00:13, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  66% 7.48G/11.4G [01:33<00:32, 120MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  82% 7.41G/9.07G [01:33<00:13, 120MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  82% 7.43G/9.07G [01:33<00:13, 123MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  66% 7.50G/11.4G [01:33<00:43, 89.5MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  82% 7.46G/9.07G [01:33<00:11, 137MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  82% 7.48G/9.07G [01:33<00:10, 149MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  66% 7.53G/11.4G [01:34<00:33, 117MB/s] \u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  66% 7.55G/11.4G [01:34<00:29, 131MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  83% 7.51G/9.07G [01:33<00:09, 168MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  83% 7.53G/9.07G [01:34<00:08, 175MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  67% 7.58G/11.4G [01:34<00:24, 154MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  67% 7.60G/11.4G [01:34<00:23, 163MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  83% 7.56G/9.07G [01:34<00:08, 187MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  67% 7.63G/11.4G [01:34<00:21, 177MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  84% 7.59G/9.07G [01:34<00:07, 193MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  67% 7.65G/11.4G [01:34<00:20, 180MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  84% 7.61G/9.07G [01:34<00:07, 196MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  67% 7.69G/11.4G [01:34<00:18, 199MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  84% 7.64G/9.07G [01:34<00:06, 211MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  68% 7.72G/11.4G [01:34<00:16, 223MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  85% 7.69G/9.07G [01:34<00:05, 249MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  68% 7.76G/11.4G [01:35<00:14, 256MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  85% 7.72G/9.07G [01:34<00:05, 255MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  85% 7.75G/9.07G [01:34<00:04, 269MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  68% 7.79G/11.4G [01:35<00:14, 252MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  69% 7.82G/11.4G [01:35<00:13, 266MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  86% 7.79G/9.07G [01:35<00:04, 292MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  69% 7.86G/11.4G [01:35<00:12, 283MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  86% 7.82G/9.07G [01:35<00:04, 283MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  69% 7.90G/11.4G [01:35<00:12, 275MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  87% 7.85G/9.07G [01:35<00:04, 254MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  70% 7.93G/11.4G [01:35<00:14, 231MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  87% 7.89G/9.07G [01:35<00:05, 221MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  70% 7.96G/11.4G [01:35<00:16, 209MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  87% 7.92G/9.07G [01:35<00:05, 204MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  70% 7.99G/11.4G [01:36<00:17, 192MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  88% 7.95G/9.07G [01:35<00:05, 196MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  70% 8.01G/11.4G [01:36<00:17, 189MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  88% 7.97G/9.07G [01:36<00:06, 175MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.03G/11.4G [01:36<00:19, 176MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  88% 7.99G/9.07G [01:36<00:06, 159MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.05G/11.4G [01:36<00:19, 172MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  88% 8.01G/9.07G [01:36<00:06, 158MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.07G/11.4G [01:36<00:19, 166MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  89% 8.03G/9.07G [01:36<00:06, 151MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.10G/11.4G [01:36<00:20, 159MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  89% 8.05G/9.07G [01:36<00:06, 146MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.12G/11.4G [01:36<00:21, 150MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  89% 8.07G/9.07G [01:36<00:07, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  71% 8.14G/11.4G [01:37<00:22, 145MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  89% 8.10G/9.07G [01:36<00:06, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  72% 8.16G/11.4G [01:37<00:22, 142MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  89% 8.12G/9.07G [01:37<00:06, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  72% 8.18G/11.4G [01:37<00:22, 143MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  90% 8.14G/9.07G [01:37<00:06, 142MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  72% 8.20G/11.4G [01:37<00:22, 141MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  90% 8.16G/9.07G [01:37<00:06, 141MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  72% 8.22G/11.4G [01:37<00:22, 141MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  90% 8.18G/9.07G [01:37<00:06, 139MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  72% 8.24G/11.4G [01:37<00:22, 138MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  90% 8.20G/9.07G [01:37<00:06, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.26G/11.4G [01:38<00:23, 134MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  91% 8.22G/9.07G [01:37<00:06, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.28G/11.4G [01:38<00:23, 130MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  91% 8.24G/9.07G [01:38<00:06, 128MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.30G/11.4G [01:38<00:24, 126MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  91% 8.26G/9.07G [01:38<00:06, 124MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.33G/11.4G [01:38<00:24, 124MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  91% 8.28G/9.07G [01:38<00:06, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.35G/11.4G [01:38<00:25, 118MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  73% 8.37G/11.4G [01:38<00:23, 126MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  92% 8.30G/9.07G [01:38<00:07, 103MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  74% 8.39G/11.4G [01:39<00:23, 125MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  92% 8.34G/9.07G [01:38<00:05, 129MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  74% 8.41G/11.4G [01:39<00:23, 128MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  92% 8.36G/9.07G [01:38<00:05, 130MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  74% 8.43G/11.4G [01:39<00:22, 130MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  92% 8.38G/9.07G [01:39<00:05, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  74% 8.45G/11.4G [01:39<00:24, 121MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  93% 8.40G/9.07G [01:39<00:05, 113MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  74% 8.47G/11.4G [01:41<01:19, 36.6MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  93% 8.42G/9.07G [01:40<00:17, 37.9MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  93% 8.44G/9.07G [01:40<00:12, 49.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  75% 8.50G/11.4G [01:41<00:53, 53.7MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  93% 8.46G/9.07G [01:41<00:09, 62.0MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  75% 8.52G/11.4G [01:41<00:44, 64.3MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  94% 8.48G/9.07G [01:41<00:07, 75.2MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  75% 8.55G/11.4G [01:41<00:38, 74.6MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  94% 8.50G/9.07G [01:41<00:06, 87.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  75% 8.57G/11.4G [01:41<00:32, 86.7MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  94% 8.52G/9.07G [01:41<00:05, 97.3MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  75% 8.59G/11.4G [01:41<00:29, 96.3MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  94% 8.55G/9.07G [01:41<00:04, 106MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  76% 8.61G/11.4G [01:41<00:26, 105MB/s] \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  94% 8.57G/9.07G [01:41<00:04, 114MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  76% 8.63G/11.4G [01:42<00:24, 114MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  95% 8.59G/9.07G [01:41<00:03, 122MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  76% 8.65G/11.4G [01:42<00:25, 106MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  95% 8.61G/9.07G [01:42<00:03, 129MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  76% 8.68G/11.4G [01:42<00:20, 131MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  95% 8.63G/9.07G [01:42<00:03, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  76% 8.70G/11.4G [01:42<00:20, 133MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  95% 8.65G/9.07G [01:42<00:03, 133MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  77% 8.72G/11.4G [01:42<00:20, 131MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  96% 8.67G/9.07G [01:42<00:03, 131MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  77% 8.75G/11.4G [01:43<00:20, 126MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  96% 8.69G/9.07G [01:42<00:03, 126MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  77% 8.77G/11.4G [01:43<00:21, 121MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  96% 8.71G/9.07G [01:42<00:02, 121MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  77% 8.79G/11.4G [01:43<00:22, 117MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  96% 8.73G/9.07G [01:43<00:02, 116MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  77% 8.81G/11.4G [01:43<00:23, 111MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  97% 8.76G/9.07G [01:43<00:02, 112MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.83G/11.4G [01:43<00:23, 111MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  97% 8.78G/9.07G [01:43<00:02, 110MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.85G/11.4G [01:43<00:22, 114MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  97% 8.80G/9.07G [01:43<00:02, 114MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.87G/11.4G [01:44<00:21, 119MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  97% 8.82G/9.07G [01:43<00:02, 119MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.89G/11.4G [01:44<00:20, 121MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  97% 8.84G/9.07G [01:44<00:01, 123MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.91G/11.4G [01:44<00:18, 135MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  98% 8.86G/9.07G [01:44<00:01, 135MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  78% 8.93G/11.4G [01:44<00:17, 141MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  98% 8.88G/9.07G [01:44<00:01, 143MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  98% 8.90G/9.07G [01:45<00:04, 38.3MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  79% 8.95G/11.4G [01:46<01:04, 37.7MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  79% 8.98G/11.4G [01:46<00:48, 49.3MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  98% 8.93G/9.07G [01:45<00:02, 56.0MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  99% 8.95G/9.07G [01:46<00:01, 68.4MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  79% 9.00G/11.4G [01:46<00:39, 61.1MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  99% 8.98G/9.07G [01:46<00:01, 80.7MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  79% 9.02G/11.4G [01:46<00:31, 74.5MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  99% 9.00G/9.07G [01:46<00:00, 91.1MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  79% 9.04G/11.4G [01:46<00:27, 85.7MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  80% 9.06G/11.4G [01:46<00:23, 97.5MB/s]\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt:  99% 9.02G/9.07G [01:46<00:00, 100MB/s] \u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  80% 9.08G/11.4G [01:46<00:21, 106MB/s] \u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt: 100% 9.04G/9.07G [01:46<00:00, 108MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "\n",
            "seamlessM4T_v2_large.pt: 100% 9.06G/9.07G [01:46<00:00, 117MB/s]\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "seamlessM4T_v2_large.pt: 100% 9.07G/9.07G [01:46<00:00, 84.8MB/s]\n",
            "\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  80% 9.12G/11.4G [01:47<00:18, 121MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  80% 9.14G/11.4G [01:47<00:17, 129MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  80% 9.16G/11.4G [01:47<00:16, 131MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  81% 9.19G/11.4G [01:47<00:16, 134MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  81% 9.21G/11.4G [01:47<00:15, 138MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  81% 9.23G/11.4G [01:47<00:14, 145MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  81% 9.25G/11.4G [01:48<00:13, 158MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  81% 9.28G/11.4G [01:48<00:11, 184MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  82% 9.32G/11.4G [01:48<00:09, 220MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  82% 9.36G/11.4G [01:48<00:08, 247MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  83% 9.40G/11.4G [01:48<00:08, 246MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  83% 9.43G/11.4G [01:48<00:07, 257MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  83% 9.46G/11.4G [01:48<00:07, 270MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  83% 9.49G/11.4G [01:48<00:07, 260MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  84% 9.53G/11.4G [01:49<00:06, 287MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  84% 9.57G/11.4G [01:49<00:06, 299MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  84% 9.60G/11.4G [01:49<00:05, 298MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  85% 9.64G/11.4G [01:49<00:05, 298MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  85% 9.67G/11.4G [01:49<00:05, 302MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  85% 9.70G/11.4G [01:49<00:05, 297MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  86% 9.74G/11.4G [01:49<00:05, 316MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  86% 9.78G/11.4G [01:49<00:05, 299MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  86% 9.81G/11.4G [01:49<00:05, 285MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  86% 9.85G/11.4G [01:50<00:05, 285MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  87% 9.88G/11.4G [01:50<00:05, 266MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  87% 9.91G/11.4G [01:50<00:06, 231MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  87% 9.94G/11.4G [01:50<00:06, 230MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  88% 9.97G/11.4G [01:50<00:06, 234MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  88% 10.0G/11.4G [01:50<00:05, 231MB/s]\u001b[A\u001b[A\n",
            "\n",
            "m4t_v2_multitask_unity2.pt:  88% 10.0G/11.4G [01:50<00:05, 250MB/s]\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "Fetching 18 files: 100% 18/18 [01:57<00:00,  6.54s/it]\n",
            "Downloading the tokenizer of seamlessM4T_v2_large...\n",
            "100% 4.93M/4.93M [00:00<00:00, 139MB/s]\n",
            "Using the cached tokenizer of seamlessM4T_v2_large. Set `force` to `True` to download again.\n",
            "Downloading the etox dataset...\n",
            "100% 238k/238k [00:00<00:00, 35.2MB/s]\n",
            "Extracting the etox dataset...\n",
            "Downloading the tokenizer of mintox...\n",
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            "/usr/local/lib/python3.10/dist-packages/torch/nn/utils/weight_norm.py:30: UserWarning: torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\n",
            "  warnings.warn(\"torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.\")\n",
            "2023-12-14 14:09:52,441 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:52,453 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "2023-12-14 14:09:53,012 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,036 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,485 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,594 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,647 INFO -- httpx: HTTP Request: GET http://127.0.0.1:7860/startup-events \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,676 INFO -- httpx: HTTP Request: HEAD http://127.0.0.1:7860/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,845 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,858 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:53,999 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,011 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,258 INFO -- httpx: HTTP Request: GET https://api.gradio.app/pkg-version \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,263 INFO -- httpx: HTTP Request: GET https://checkip.amazonaws.com/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,427 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,549 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,640 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,762 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:54,901 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:55,185 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-initiated-analytics/ \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:55,259 INFO -- httpx: HTTP Request: GET https://api.gradio.app/v2/tunnel-request \"HTTP/1.1 200 OK\"\n",
            "2023-12-14 14:09:55,373 INFO -- httpx: HTTP Request: GET https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_linux_amd64 \"HTTP/1.1 200 OK\"\n",
            "Running on public URL: https://d95a9778298378d0ef.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n",
            "2023-12-14 14:09:56,852 INFO -- httpx: HTTP Request: POST https://api.gradio.app/gradio-launched-telemetry/ \"HTTP/1.1 200 OK\"\n",
            "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:345: UserWarning: Trying to convert audio automatically from int32 to 16-bit int format.\n",
            "  warnings.warn(warning.format(data.dtype))\n",
            "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:340: UserWarning: Trying to convert audio automatically from float16 to 16-bit int format.\n",
            "  warnings.warn(warning.format(data.dtype))\n",
            "2023-12-14 14:15:00,572 INFO -- speechbrain.pretrained.fetching: Destination output.wav: local file in /content/seamless-test/output.wav.\n",
            "/usr/local/lib/python3.10/dist-packages/gradio/processing_utils.py:345: UserWarning: Trying to convert audio automatically from int32 to 16-bit int format.\n",
            "  warnings.warn(warning.format(data.dtype))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "swVy1EW0eoWf"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}
